Meta Unveils Llama 4 Featuring Large Context Window and Open Source
Meta has unveiled the Llama 4 series, comprising the Scout, Maverick, and Behemoth variants. The models are open source and feature a context window of up to 10 million tokens.
What happened?
Meta has introduced Llama 4, its latest series of open-source AI models. The model family, consisting of the Scout, Maverick, and Behemoth variants, reportedly supports a context window of up to 10 million tokens. This allows the models to process vast amounts of data in a single request.
Key facts
| Lanseringsdatum | 25 augusti 2026 |
|---|---|
| Kontextfönster | Upp till 10 miljoner tokens |
| Modellvarianter | Scout, Maverick, Behemoth |
Why it matters
The Llama 4 series places Meta’s open models in direct competition with proprietary systems such as GPT and Claude. A 10-million-token context window means that entire codebases, books, or extensive document sets can be analysed at once, opening up new applications in software development and data analysis.
Who is affected?
Llama 4 is primarily aimed at developers, researchers, and companies that wish to run advanced AI models on their own hardware without relying on paid APIs from proprietary providers. Swedish AI developers and companies will also have access to high-capacity open models.
Impact on the EU
Llama 4 is released as open source, making it globally available, including within the EU. However, companies in the EU must ensure that the use of these models complies with regulations such as the EU AI Act and GDPR, particularly when processing personal data within large context windows.
What else you should know
The news is based on reports from Industry.co.id regarding Meta’s Llama 4 family. The Llama 4 series is intended to provide developers with alternatives to proprietary models from competitors such as OpenAI and Anthropic.
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